.gitea/workflows/ci.yml

@@ -443,8 +443,7 @@ jobs:
           # Use venv's pip and python directly (avoids shell activation issues)
           # Install core dependencies including numpy and pillow (needed for module-level imports)
           # Skip heavy ML dependencies (tensorflow, deepface, opencv) for faster builds
-          # Include email-validator for pydantic[email] email validation
-          /tmp/backend-venv/bin/pip install --no-cache-dir fastapi uvicorn "pydantic[email]" sqlalchemy psycopg2-binary redis rq python-jose python-multipart python-dotenv bcrypt numpy pillow
+          /tmp/backend-venv/bin/pip install --no-cache-dir fastapi uvicorn pydantic sqlalchemy psycopg2-binary redis rq python-jose python-multipart python-dotenv bcrypt numpy pillow
           
           # Set environment variables for validation
           export PYTHONPATH=$(pwd)

tests/test_api_jobs.py

@@ -67,7 +67,6 @@ class TestJobStreaming:
         response = test_client.get("/api/v1/jobs/stream/test-job-id")
         
         if response.status_code == 200:
-            # Check Content-Type for SSE (may include charset parameter)
-            content_type = response.headers.get("content-type", "")
-            assert content_type.startswith("text/event-stream")
+            # Check Content-Type for SSE
+            assert response.headers.get("content-type") == "text/event-stream"